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Build and deploy large-scale machine learning models to power Siri, Spotlight, and other Apple services, focusing on search relevance, query understanding, and answer generation using LLMs and deep learning frameworks.
Designs and ships ML-powered sensing features for Apple Watch, turning raw sensor data into on-device interactions like DoubleTap and AssistiveTouch using deep learning and rapid prototyping.
A data scientist at Toboggan Labs builds, trains, and deploys AI/ML models—including generative AI—while collaborating with cross-functional teams to solve complex problems across healthcare and other regulated industries using Python, cloud platforms, and distributed computing.
Senior AI engineer at Microsoft building multi-agent systems and LLMs to help enterprises securely adopt AI at scale, integrating signals across identity, devices, and infrastructure.
Leads independent research in deep learning and foundation models at Microsoft Research, publishing breakthroughs in top-tier venues and collaborating with product teams to deploy AI solutions.
Research and develop foundational machine learning models and algorithms for Apple products, focusing on efficiency, multi-modal capabilities, and reasoning, with publication in top-tier venues.
Develop AI/ML models to predict and optimize organoid growth protocols for biomedical research, using Python, TensorFlow/PyTorch, and biological data analysis at a NIH-funded center in Frederick, MD.
Research and develop AI/ML algorithms for digital health products using wearable and mobile sensor data, focusing on physiological signals and digital biomarkers.
About Us MiCROTEC is a high-tech company and global leader in wood scanning solutions. Founded in 1980 and headquartered in Bressanone, Italy, MiCROTEC has offices in Sweden, Germany, Finland, Canada, and the United…
Research and engineer efficient large language and diffusion models, publishing cutting-edge ML work that powers Apple’s products.
Part-time remote role building enterprise AI systems that turn technical documents into structured knowledge using LLMs, RAG, and semantic search for industries like defense and manufacturing.
Develops and optimizes SIMD kernels for AI operators (e.g., softmax, layer norm) to run on next-gen hardware, focusing on performance and SDK usability for generative AI compute engines.
Principal engineer builds and scales the AI inference software stack for d-Matrix’s custom compute engine, optimizing hardware-software co-design and collaborating across ML, compilers, and hardware teams.
An AI Engineer at Talan designs and industrializes generative AI, ML, and autonomous agent solutions for clients, covering model selection, LLM/RAG/multi-agent architecture, fine-tuning pipelines, and production deployment with MLOps/LLMOps. Focuses on performance optimization, business validation, and knowledge-sharing internally.
Machine Learning Engineer I (Remote) Primary Location: Remote V-Soft Consulting is currently hiring for a Machine Learning Engineer I (Remote) for our premier client. Education and Experience Bachelors degree in…
Build and deploy AI/ML models and Generative AI solutions for life and annuities insurance tech, using Python, LLMs, and scalable ML pipelines.
Location: [Taiwan] We Are: RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving…
Location: Poland, remote We Are: RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving…
Location: Germany, remote This position is offered on a fixed-term contract for two years. We Are: RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms…
Designs static and animated digital ad banners for global clients using Adobe Creative Cloud, ensuring brand consistency and collaborating with cross-functional teams.
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